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| 农村低压电网触电电流数字特征描述与分析 |
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关海鸥1,2, 郭元建3, 杜松怀1, 邵利敏1, 苏娟1, 余国太4, 朱建军4, 李锐腾1, 马琳琦1
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| (1.中国农业大学 信息与电气工程学院, 北京 100083;2.黑龙江八一农垦大学 信息技术学院, 黑龙江 大庆 163319;3.中国农业出版社, 北京 100125;4.国家电网公司 农电工作部, 北京 100031) |
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| 摘要: |
| 为开发新一代农村低压电网剩余电流保护与动作装置，针对生物触电故障的暂态过度过程中总泄漏电流频谱构成的复杂性和不确定性，利用高阶统计量分析检测信号的数字特征，提出了抽取总漏电电流变化过程表征指标的定量描述方法。仿真试验结果分析表明：偏度中出现正偏离和负偏离的样本数占总样本数的比例为52.4%和47.6%，二者中有53.2%改变了触电前偏度值正负方向；触电故障发生时3个计算周期的峭度变化率增大的样本数占总样本数的比例分别为91.7%、7.4%和96.3%；计算信息熵2.25~3.26，相对无故障时，触电故障发生初期信息熵增大的样本数占总样本数在55.0%以上，触电后稳定期增大的样本数占总样本数73.4%以上。高阶统计量的数字特征变化显著，可以描述生物触电故障过程中总泄漏电流数字特征变化趋势与规律。 |
| 关键词: 农村低压电网 剩余电流保护 触电电流 高阶统计量 |
| DOI：10.11841/j.issn.1007-4333.2014.03.28 |
| 投稿时间：2013-10-29 |
| 基金项目:国家自然科学基金资助项目（51177165）；中央高校基本科研业务费专项资金资助项目（2012YJ112）；国家电网公司科技项目（PD17201200033） |
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| Description and analysis of shock current digital features for low-voltage rural power grid |
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GUAN Hai-ou1,2, GUO Yuan-jian3, DU Song-huai1, SHAO Li-min1, SU Juan1, YU Guo-tai4, ZHU Jian-jun4, LI Rui-teng1, MA Lin-qi1
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| (1.College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China;2.Heilongjiang Bayi Agricultural University College of Information Technology, Daqing 163319, China;3.China Agricultural Press, Beijing 100125, China;4.Country Power Supply Department of the State Grid Corporation of China, Beijing 100031, China) |
| Abstract: |
| In order to develop a new generation of final residual current protective device which has been widely used in low-voltage rural power grid, and aiming at complexity and uncertainty of constitution for total leakage current spectrum in transient process of biological electric fault, the higher order statistics was used to analysis the digital characteristic of detection signals.The method to describe indicators was proposed for current changing process of total leakage current.The simulation results showed that the total leakage current signal appeared positive deviation was 52.4% through numerical calculation, and the negative deviation was 47.6%.There was 53.2% current signals that changed the positive and negative direction before electric shock.While the electric shock occurred, the variation rate of kurtosis numerical for three accounting cycle were 91.7%、7.4% and 96.3% respectively.Calculating information entropy was between 2.25 and 3.26.The entropy was increased 55% at the beginning of the faults of electric shock, and 73.4% during stationary phase after electric shock.Due to the high significance of the digital characteristics of higher order statistics, it could be used to describe the trends and laws of the total leakage current characteristics in biological shock failure process. |
| Key words: low-voltage rural power grid residual current protection shock current high order statistics |
